The state-of-the-art segmentation and object detection models we measured were challenged by this task. As shown in Table REF , TernausNet trained on all angles achieves \(F_1 = 0.62\)  on the nadir angles, which is on par with previous building segmentation results and competitions [1]}, [2]}. However, performance drops significantly for off-nadir (\(F_1=0.43\) ) and very off-nadir (\(F_1=0.22\) ) images. Other models display a similar degradation in performance. Example results are shown in Figure REF .
